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Quantitative Developer (B5C79B0)

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The Role
You will design, develop and test the models that value financial positions and calculate market risk in real time. Day to day you will implement pricing and risk logic across equity, credit, FX, fixed income, commodities, crypto and their derivatives, and build the quantitative inputs those models depend on, such as yield curves, volatility surfaces and cubes, and correlation matrices.
You'll write modern, high-performance C++ for large-scale distributed systems running on a grid computing platform, and use Python, SQL and Snowflake to analyse, construct and validate model inputs. You'll also document methodologies so the models stand up to internal and external validation and compliance review. This is a hands-on engineering role with real ownership from model design through to production, working alongside other quantitative developers and data specialists.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For
Strong numerical grounding in numerical methods, linear algebra, partial differential equations, probability theory and statistics.
3-5 years of large-scale C++ development and program design, with experience of data-intensive products and clean, well-tested, reusable code.
Familiarity with other languages such as Python, Java and SQL.
A strong understanding of financial derivatives, market conventions and how they are implemented.
Hands-on experience with financial data structures including yield curves (OIS, Libor, cross-currency), inflation curves, volatility surfaces and interest rate volatility cubes, ideally live or intraday.


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Desirable
Experience developing risk management tools such as VaR, Monte Carlo, scenario analysis and P&L.
An M.S. or PhD in mathematics, physical sciences or engineering.
This could suit a quantitative developer, quantitative analyst or financial engineer working on pricing or risk libraries at a bank, hedge fund or software vendor who wants to own models end to end in a live platform. The role is based in London and is in-office, with four days a week in the office; remote work is not available.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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